----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  U:\Papers\Degrees of Disrespect\All_data_and_dofiles\Replication files for JOP\mylog.log
  log type:  text
 opened on:  27 Jul 2021, 13:43:35

. 
. ********************************************************
. **CODE FOR SECTION CALLED "DESIGN OF CONTENT ANALYSIS"**
. ********************************************************
. 
. *Loading data for first round coding
. quietly {

. 
. *Counting number of coders in first coding round (see paragraph starting with "The tweets were...")
. quietly {

. count if n_coders == 1
  1,897

. 
. *Counting number of ratings in first coding roundt (see paragraph starting with "The tweets were...")
. count
  82,680

. 
. *Generating variable (Share_criticism) measuring percentage saying tweet contained criticism or expressions of disagreement in first coding round
. quietly {

. 
. *Counting the number of tweets that a majority of coders say contain criticism or expressions of disagreement in first coding round (see paragraph starting with "In the second 
> round...")
. quietly {

. count
  4,869

. 
. *Examining reliability of first round coding (see footnote starting with "Every eighth tweet was...")
. quietly {

. krippalpha Contain_dummy_initial Contain_dummy_extra

--------------------------------------------------------------------------------
 Krippendorff's Alpha reliability coefficient

 Variable/Coders Contain_dummy_initial Contain_dummy_extra
 Method   nominal
 Units    3000
 Raters   2
 alpha    .72697433
--------------------------------------------------------------------------------

. 
. quietly {

. tab agreement

  agreement |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        246        8.20        8.20
          1 |      2,754       91.80      100.00
------------+-----------------------------------
      Total |      3,000      100.00

. 
. *Counting number of real-life tweets coded in second round (see paragraph starting with "In the second round...")
. quietly {

. count
  1,218

. 
. *Counting the number of coders in second coding round (see bottom of paragraph starting with "In the second round...")
. quietly {

. count if n_coders == 1
  1,316

. 
. *Counting the number of ratings in second coding round (see bottom of paragraph starting with "In the second round...")
. count
  39,095

. 
. *Examining reliability of second round coding (see footnote starting with "196 tweets were...")
. quietly {

. krippalpha Weighted_ext_average Weighted_ini_average if (Weighted_ini_average != . & Weighted_ext_average != .), method(interval)

--------------------------------------------------------------------------------
 Krippendorff's Alpha reliability coefficient

 Variable/Coders Weighted_ext_average Weighted_ini_average
 Method   interval
 Units    196
 Raters   2
 alpha    .86289955
--------------------------------------------------------------------------------

. 
. *Creating Figure 2 and saving it in folder called "Figures"*
. quietly {

. 
. *Creating temporary figures that will later be used when creating Figure 4
. quietly {

. 
. *Saving a working dataset that will be used in later analysis
. quietly {

. 
. *********************************************************
. **CODE FOR SECTION CALLED "DESIGN OF SURVEY EXPERIMENT"**
. *********************************************************
. 
. *Counting number of respondents in each sample (see paragraph starting with "In the experiment...")
. quietly {

. tab Sample

         Sample |      Freq.     Percent        Cum.
----------------+-----------------------------------
  Harry - MTurk |      3,691       37.51       37.51
    Harry - SSI |      2,436       24.76       62.27
Harriet - MTurk |      3,712       37.73      100.00
----------------+-----------------------------------
          Total |      9,839      100.00

. 
. *Calculating descriptive statistics for my dependent variable (see paragraph starting with "After reading the...")
. sum Rating_Miller

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
Rating_Mil~r |      9,839    50.22004    30.46477          0        100

. tab Rating_Miller

   Based on |
   what you |
  now know, |
how warm... |
-Harry/Harr |
 iet Miller |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        574        5.83        5.83
          1 |        220        2.24        8.07
          2 |        110        1.12        9.19
          3 |         75        0.76        9.95
          4 |         58        0.59       10.54
          5 |        138        1.40       11.94
          6 |         53        0.54       12.48
          7 |         44        0.45       12.93
          8 |         50        0.51       13.44
          9 |         71        0.72       14.16
         10 |        356        3.62       17.78
         11 |         67        0.68       18.46
         12 |         38        0.39       18.84
         13 |         18        0.18       19.03
         14 |         32        0.33       19.35
         15 |         74        0.75       20.10
         16 |         21        0.21       20.32
         17 |         31        0.32       20.63
         18 |         28        0.28       20.92
         19 |         69        0.70       21.62
         20 |        243        2.47       24.09
         21 |         55        0.56       24.65
         22 |         39        0.40       25.04
         23 |         27        0.27       25.32
         24 |         34        0.35       25.66
         25 |         81        0.82       26.49
         26 |         21        0.21       26.70
         27 |         23        0.23       26.93
         28 |         24        0.24       27.18
         29 |         52        0.53       27.71
         30 |        254        2.58       30.29
         31 |         70        0.71       31.00
         32 |         39        0.40       31.40
         33 |         28        0.28       31.68
         34 |         33        0.34       32.02
         35 |         65        0.66       32.68
         36 |         32        0.33       33.00
         37 |         15        0.15       33.15
         38 |         31        0.32       33.47
         39 |         36        0.37       33.83
         40 |        257        2.61       36.45
         41 |         98        1.00       37.44
         42 |         35        0.36       37.80
         43 |         33        0.34       38.13
         44 |         34        0.35       38.48
         45 |         73        0.74       39.22
         46 |         33        0.34       39.56
         47 |         36        0.37       39.92
         48 |         50        0.51       40.43
         49 |         97        0.99       41.42
         50 |        691        7.02       48.44
         51 |        215        2.19       50.63
         52 |         86        0.87       51.50
         53 |         39        0.40       51.90
         54 |         64        0.65       52.55
         55 |        108        1.10       53.64
         56 |         49        0.50       54.14
         57 |         47        0.48       54.62
         58 |         53        0.54       55.16
         59 |         53        0.54       55.70
         60 |        344        3.50       59.19
         61 |        137        1.39       60.59
         62 |         68        0.69       61.28
         63 |         54        0.55       61.83
         64 |         47        0.48       62.30
         65 |        135        1.37       63.68
         66 |         56        0.57       64.24
         67 |         46        0.47       64.71
         68 |         52        0.53       65.24
         69 |         64        0.65       65.89
         70 |        353        3.59       69.48
         71 |        163        1.66       71.14
         72 |         84        0.85       71.99
         73 |         60        0.61       72.60
         74 |         63        0.64       73.24
         75 |        204        2.07       75.31
         76 |         56        0.57       75.88
         77 |         52        0.53       76.41
         78 |         47        0.48       76.89
         79 |         64        0.65       77.54
         80 |        394        4.00       81.54
         81 |        202        2.05       83.60
         82 |         75        0.76       84.36
         83 |         61        0.62       84.98
         84 |         48        0.49       85.47
         85 |        150        1.52       86.99
         86 |         62        0.63       87.62
         87 |         46        0.47       88.09
         88 |         50        0.51       88.60
         89 |         54        0.55       89.15
         90 |        233        2.37       91.51
         91 |        100        1.02       92.53
         92 |         78        0.79       93.32
         93 |         45        0.46       93.78
         94 |         43        0.44       94.22
         95 |         73        0.74       94.96
         96 |         31        0.32       95.27
         97 |         23        0.23       95.51
         98 |         25        0.25       95.76
         99 |         60        0.61       96.37
        100 |        357        3.63      100.00
------------+-----------------------------------
      Total |      9,839      100.00

. 
. ******************************************
. **CODE FOR SECTION CALLED "MAIN RESULTS"**
. ******************************************
. 
. *Creating all variables and saving a working dataset for use in later analyses*
. quietly {

. 
. *Creating Figure 4 and saving it in folder called "Figures"*
. quietly {
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(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
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(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)

. 
. *Calculating share of tweets with rating above 0.5 that also have rating above 0.75 (see paragraph starting with "These patterns are...")
. quietly {

. tab above075 if Mock_t != 1 & Trump_tweet != 1 & Weighted_tot_average > 0.5 & share_no_dis_or_crit < 0.25

   above075 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        591       91.20       91.20
          1 |         57        8.80      100.00
------------+-----------------------------------
      Total |        648      100.00

. 
. *Calculating share of tweets with rating above 0.5 that also have rating above 0.75 among women and men (see paragraph starting with "In the two remaining...")
. tab above075 if Mock_t != 1 & Trump_tweet != 1 & Weighted_tot_average > 0.5 & Gender_of == "F" & share_no_dis_or_crit < 0.25

   above075 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        180       91.37       91.37
          1 |         17        8.63      100.00
------------+-----------------------------------
      Total |        197      100.00

. tab above075 if Mock_t != 1 & Trump_tweet != 1 & Weighted_tot_average > 0.5 & Gender_of == "M" & share_no_dis_or_crit < 0.25

   above075 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        411       91.13       91.13
          1 |         40        8.87      100.00
------------+-----------------------------------
      Total |        451      100.00

. 
. *Results from linear model reported in footnote excluding observations from two most uncivil conditions (see first footnote starting with "Excluding observations...")
. quietly{

. reg Rating_M rescaled_rude if out == 0 & Only_male_version_of_exp == 1, rob

Linear regression                               Number of obs     =      1,422
                                                F(1, 1420)        =       2.55
                                                Prob > F          =     0.1104
                                                R-squared         =     0.0018
                                                Root MSE          =     21.094

-------------------------------------------------------------------------------
              |               Robust
Rating_Miller |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
rescaled_rude |  -2.405739   1.506231    -1.60   0.110    -5.360416    .5489391
        _cons |   72.44292   .9437263    76.76   0.000     70.59167    74.29416
-------------------------------------------------------------------------------

. 
. *********************************************************************
. **CODE FOR SECTION CALLED "ARE THE EXPERIMENTAL RESULTS SIMILAR..."**
. *********************************************************************
. 
. *Creating panel (a) of Figure 5 and saving it in folder called "Figures"
. quietly {
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)

. 
. *Testing whether average favorability is significantly higher than in adjecent conditions that is more civil among out-partisans. The relevant finding is that only when compari
> ng conditions 0.71 and 0.65 among out-partisans (line 984) is the coefficient both positive and significant (i.e., p<0.05). (see paragraph starting with "Furthermore, the more.
> ..").
. quietly {

. 
. reg Rating_M _036_vs_041 if out == 1 & Sample == 0, rob

Linear regression                               Number of obs     =        378
                                                F(1, 376)         =       0.00
                                                Prob > F          =     0.9925
                                                R-squared         =     0.0000
                                                Root MSE          =     25.499

------------------------------------------------------------------------------
             |               Robust
Rating_Mil~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 _036_vs_041 |  -.0247253   2.629552    -0.01   0.993    -5.195195    5.145744
       _cons |    35.2033   1.937147    18.17   0.000      31.3943     39.0123
------------------------------------------------------------------------------

. reg Rating_M _054_vs_041 if out == 1 & Sample == 0, rob

Linear regression                               Number of obs     =        368
                                                F(1, 366)         =       0.05
                                                Prob > F          =     0.8190
                                                R-squared         =     0.0001
                                                Root MSE          =      26.24

------------------------------------------------------------------------------
             |               Robust
Rating_Mil~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 _054_vs_041 |  -.6320598   2.760554    -0.23   0.819    -6.060598    4.796478
       _cons |   35.17857    1.77833    19.78   0.000     31.68154     38.6756
------------------------------------------------------------------------------

. reg Rating_M _065_vs_054 if out == 1 & Sample == 0, rob

Linear regression                               Number of obs     =        343
                                                F(1, 341)         =       6.11
                                                Prob > F          =     0.0139
                                                R-squared         =     0.0176
                                                Root MSE          =      25.59

------------------------------------------------------------------------------
             |               Robust
Rating_Mil~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 _065_vs_054 |  -6.827213   2.762061    -2.47   0.014    -12.26004   -1.394391
       _cons |   34.54651   2.111866    16.36   0.000     30.39259    38.70044
------------------------------------------------------------------------------

. reg Rating_M _071_vs_065 if out == 1 & Sample == 0, rob

Linear regression                               Number of obs     =        352
                                                F(1, 350)         =       4.46
                                                Prob > F          =     0.0354
                                                R-squared         =     0.0125
                                                Root MSE          =     24.442

------------------------------------------------------------------------------
             |               Robust
Rating_Mil~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 _071_vs_065 |   5.490647   2.599849     2.11   0.035     .3773552    10.60394
       _cons |    27.7193   1.780036    15.57   0.000     24.21839    31.22021
------------------------------------------------------------------------------

. reg Rating_M _075_vs_071 if out == 1 & Sample == 0, rob

Linear regression                               Number of obs     =        366
                                                F(1, 364)         =       6.56
                                                Prob > F          =     0.0108
                                                R-squared         =     0.0177
                                                Root MSE          =      24.99

------------------------------------------------------------------------------
             |               Robust
Rating_Mil~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 _075_vs_071 |  -6.696431   2.613796    -2.56   0.011    -11.83647   -1.556394
       _cons |   33.20994   1.894703    17.53   0.000     29.48401    36.93588
------------------------------------------------------------------------------

. reg Rating_M _082_vs_075 if out == 1 & Sample == 0, rob

Linear regression                               Number of obs     =        354
                                                F(1, 352)         =       0.71
                                                Prob > F          =     0.3986
                                                R-squared         =     0.0020
                                                Root MSE          =     23.865

------------------------------------------------------------------------------
             |               Robust
Rating_Mil~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 _082_vs_075 |  -2.140732   2.532949    -0.85   0.399    -7.122349    2.840884
       _cons |   26.51351   1.800732    14.72   0.000     22.97197    30.05506
------------------------------------------------------------------------------

. reg Rating_M _087_vs_082 if out == 1 & Sample == 0, rob

Linear regression                               Number of obs     =        349
                                                F(1, 347)         =       0.23
                                                Prob > F          =     0.6302
                                                R-squared         =     0.0007
                                                Root MSE          =     23.934

------------------------------------------------------------------------------
             |               Robust
Rating_Mil~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 _087_vs_082 |   1.232774   2.558616     0.48   0.630    -3.799573    6.265122
       _cons |   24.37278   1.781418    13.68   0.000     20.86905    27.87652
------------------------------------------------------------------------------

. reg Rating_M _092_vs_087 if out == 1 & Sample == 0, rob

Linear regression                               Number of obs     =        363
                                                F(1, 361)         =       1.24
                                                Prob > F          =     0.2657
                                                R-squared         =     0.0034
                                                Root MSE          =     25.991

------------------------------------------------------------------------------
             |               Robust
Rating_Mil~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 _092_vs_087 |   3.039253   2.726137     1.11   0.266    -2.321852    8.400358
       _cons |   25.60556   1.836386    13.94   0.000      21.9942    29.21691
------------------------------------------------------------------------------

. 
. reg Rating_M _036_vs_041 if out == 0 & Sample == 0, rob

Linear regression                               Number of obs     =        349
                                                F(1, 347)         =       6.07
                                                Prob > F          =     0.0142
                                                R-squared         =     0.0176
                                                Root MSE          =      19.27

------------------------------------------------------------------------------
             |               Robust
Rating_Mil~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 _036_vs_041 |  -5.143449      2.088    -2.46   0.014    -9.250177   -1.036721
       _cons |   75.60773   1.200635    62.97   0.000      73.2463    77.96917
------------------------------------------------------------------------------

. reg Rating_M _054_vs_041 if out == 0 & Sample == 0, rob

Linear regression                               Number of obs     =        358
                                                F(1, 356)         =       1.81
                                                Prob > F          =     0.1793
                                                R-squared         =     0.0052
                                                Root MSE          =     19.757

------------------------------------------------------------------------------
             |               Robust
Rating_Mil~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 _054_vs_041 |   2.856767   2.123059     1.35   0.179    -1.318547    7.032081
       _cons |   70.46429   1.708155    41.25   0.000     67.10494    73.82363
------------------------------------------------------------------------------

. reg Rating_M _065_vs_054 if out == 0 & Sample == 0, rob

Linear regression                               Number of obs     =        367
                                                F(1, 365)         =       0.30
                                                Prob > F          =     0.5837
                                                R-squared         =     0.0008
                                                Root MSE          =     18.722

------------------------------------------------------------------------------
             |               Robust
Rating_Mil~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 _065_vs_054 |  -1.078115   1.965697    -0.55   0.584    -4.943627    2.787398
       _cons |   73.32105     1.2607    58.16   0.000      70.8419     75.8002
------------------------------------------------------------------------------

. reg Rating_M _071_vs_065 if out == 0 & Sample == 0, rob

Linear regression                               Number of obs     =        352
                                                F(1, 350)         =       1.77
                                                Prob > F          =     0.1841
                                                R-squared         =     0.0050
                                                Root MSE          =     19.561

------------------------------------------------------------------------------
             |               Robust
Rating_Mil~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 _071_vs_065 |  -2.774366   2.084592    -1.33   0.184    -6.874269    1.325536
       _cons |   72.24294   1.508353    47.90   0.000     69.27636    75.20951
------------------------------------------------------------------------------

. reg Rating_M _075_vs_071 if out == 0 & Sample == 0, rob

Linear regression                               Number of obs     =        353
                                                F(1, 351)         =       3.61
                                                Prob > F          =     0.0582
                                                R-squared         =     0.0102
                                                Root MSE          =     18.477

------------------------------------------------------------------------------
             |               Robust
Rating_Mil~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 _075_vs_071 |   3.739294   1.967962     1.90   0.058    -.1311876    7.609775
       _cons |   69.46857   1.438875    48.28   0.000     66.63867    72.29847
------------------------------------------------------------------------------

. reg Rating_M _082_vs_075 if out == 0 & Sample == 0, rob

Linear regression                               Number of obs     =        360
                                                F(1, 358)         =       2.60
                                                Prob > F          =     0.1079
                                                R-squared         =     0.0072
                                                Root MSE          =     18.966

------------------------------------------------------------------------------
             |               Robust
Rating_Mil~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 _082_vs_075 |  -3.218854   1.996918    -1.61   0.108    -7.146019    .7083107
       _cons |   73.20787   1.342503    54.53   0.000     70.56768    75.84805
------------------------------------------------------------------------------

. reg Rating_M _087_vs_082 if out == 0 & Sample == 0, rob

Linear regression                               Number of obs     =        366
                                                F(1, 364)         =       1.11
                                                Prob > F          =     0.2920
                                                R-squared         =     0.0030
                                                Root MSE          =     20.849

------------------------------------------------------------------------------
             |               Robust
Rating_Mil~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 _087_vs_082 |  -2.298794   2.178597    -1.06   0.292     -6.58301    1.985423
       _cons |   69.98901   1.478231    47.35   0.000     67.08207    72.89596
------------------------------------------------------------------------------

. reg Rating_M _092_vs_087 if out == 0 & Sample == 0, rob

Linear regression                               Number of obs     =        362
                                                F(1, 360)         =       0.92
                                                Prob > F          =     0.3375
                                                R-squared         =     0.0026
                                                Root MSE          =     22.447

------------------------------------------------------------------------------
             |               Robust
Rating_Mil~r |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 _092_vs_087 |  -2.268869   2.362434    -0.96   0.338    -6.914773    2.377035
       _cons |   67.69022   1.600397    42.30   0.000     64.54291    70.83752
------------------------------------------------------------------------------

. 
. *******************************************************
. **CODE FOR SECTION CALLED "DO STRONG PARTISANS OR..."**
. *******************************************************
. 
. *Creating panel (b) of Figure 5 and saving it in folder called "Figures"
. quietly {
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
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. 
. *****************************************************************
. **CODE FOR SECTION CALLED "DO DEMOCRATS REACT MORE STRONGLY..."**
. *****************************************************************
. 
. *Creating panel (c) of Figure 5 and saving it in folder called "Figures"
. quietly {
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)

. 
. *Linear model reported in footnote excluding observations from two most uncivil conditions (see second footnote starting with "Excluding observations...")
. quietly{

. reg Rating_M rescaled_rude if out == 0 & Pooled_analysis == 1 & Dem0 == 0, rob

Linear regression                               Number of obs     =      1,586
                                                F(1, 1584)        =       3.95
                                                Prob > F          =     0.0471
                                                R-squared         =     0.0023
                                                Root MSE          =     19.745

-------------------------------------------------------------------------------
              |               Robust
Rating_Miller |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
rescaled_rude |  -2.551289   1.283819    -1.99   0.047    -5.069453   -.0331253
        _cons |   74.37108    .806017    92.27   0.000     72.79011    75.95205
-------------------------------------------------------------------------------

. 
. *Showing that share of strong partisans is slightly larger among Democrats than among Republicans (see paragraph starting with "A more notable difference...")
. quietly{

. tab StrongDem_dummy

StrongDem_d |
       ummy |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      2,949       56.48       56.48
          1 |      2,272       43.52      100.00
------------+-----------------------------------
      Total |      5,221      100.00

. tab StrongRep_dummy

StrongRep_d |
       ummy |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      1,955       60.56       60.56
          1 |      1,273       39.44      100.00
------------+-----------------------------------
      Total |      3,228      100.00

. 
. *****************************************************************************************
. **CODE FOR SECTION CALLED "IS EXTREME INCIVILITY AMPLIFIED BY NEWS MEDIA AND SOCIAL..."**
. *****************************************************************************************
. 
. *Creating Figure 6 and saving it in folder called "Figures"
. quietly {

. 
. *Rudeness rating for Feinstein tweet excluded from analysis (see footnote starting with "One tweet by Senator...")
. sum Weighted_tot_average if Number_shares == 159922

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
Weighted_t~e |          1    .4119231           .   .4119231   .4119231

. 
. *Calculating share of tweets with rating above 0.5 that also have rating above 0.75 when retweet count is used as frequency weights (see paragraph starting with "While my study
>  cannot")
. quietly {

. tab above075 [fweight=Number_shares] if Mock_t == 1 != 1 & Trump_tweet != 1 & Weighted_tot_average > 0.5 & share_no_dis_or_crit < 0.25 & Number_shares != 159922

   above075 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |    340,193       83.91       83.91
          1 |     65,215       16.09      100.00
------------+-----------------------------------
      Total |    405,408      100.00

. 
. ***************
. **CODE FOR A2**
. ***************
. 
. *Creating Figure 1 and saving it in folder called "Figures"
. quietly {

. 
. ***************
. **CODE FOR A5**
. ***************
. 
. *Coder demographics in first round of content analysis (see "First round" column in Table 1)
. 
. ***Coder emographics (see A5, table 1, fist column)***
. quietly {

. mean Coder_age

Mean estimation                   Number of obs   =      1,897

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
   Coder_age |   36.94518   .2583289      36.43854    37.45182
--------------------------------------------------------------

. tab Coder_gender

    What is |
       your |
    gender? |      Freq.     Percent        Cum.
------------+-----------------------------------
       Male |      1,017       53.61       53.61
     Female |        876       46.18       99.79
      Other |          4        0.21      100.00
------------+-----------------------------------
      Total |      1,897      100.00

. tab Coder_education

   Coder_education (What is the highest |
      level of school you have complete |      Freq.     Percent        Cum.
----------------------------------------+-----------------------------------
           Less than high school degree |          7        0.37        0.37
High school graduate (high school diplo |        198       10.44       10.81
             Some college but no degree |        383       20.19       31.00
   Associate degree in college (2-year) |        255       13.44       44.44
  Bachelor's degree in college (4-year) |        784       41.33       85.77
                        Master's degree |        232       12.23       98.00
                       Doctorial degree |         20        1.05       99.05
           Professional degree (JD, MD) |         18        0.95      100.00
----------------------------------------+-----------------------------------
                                  Total |      1,897      100.00

. tab Rep_dummy

  Rep_dummy |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      1,313       69.21       69.21
          1 |        584       30.79      100.00
------------+-----------------------------------
      Total |      1,897      100.00

. tab Dem_dummy

  Dem_dummy |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        911       48.02       48.02
          1 |        986       51.98      100.00
------------+-----------------------------------
      Total |      1,897      100.00

. 
. *Coder demographics in second round of content analysis (see "Second round" column in Table 1)
. quietly {

. mean Coder_age

Mean estimation                   Number of obs   =      1,316

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
   Coder_age |   36.71657   .3134557      36.10164    37.33149
--------------------------------------------------------------

. tab Coder_gender

    What is |
       your |
    gender? |      Freq.     Percent        Cum.
------------+-----------------------------------
     Female |        649       49.32       49.32
       Male |        664       50.46       99.77
      Other |          3        0.23      100.00
------------+-----------------------------------
      Total |      1,316      100.00

. tab Coder_education

   Coder_education (What is the highest |
      level of school you have complete |      Freq.     Percent        Cum.
----------------------------------------+-----------------------------------
           Less than high school degree |          7        0.53        0.53
High school graduate (high school diplo |        131        9.95       10.49
             Some college but no degree |        313       23.78       34.27
   Associate degree in college (2-year) |        171       12.99       47.26
  Bachelor's degree in college (4-year) |        511       38.83       86.09
                        Master's degree |        152       11.55       97.64
                        Doctoral degree |         13        0.99       98.63
           Professional degree (JD, MD) |         17        1.29       99.92
                             Don't know |          1        0.08      100.00
----------------------------------------+-----------------------------------
                                  Total |      1,316      100.00

. tab Rep_dummy

  Rep_dummy |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        918       69.76       69.76
          1 |        398       30.24      100.00
------------+-----------------------------------
      Total |      1,316      100.00

. tab Dem_dummy

  Dem_dummy |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        567       43.09       43.09
          1 |        749       56.91      100.00
------------+-----------------------------------
      Total |      1,316      100.00

. 
. *Coder demographics for experimental survey participants (see Table 2)
. quietly {

. mean Age, over(Sample)

Mean estimation                       Number of obs   =      9,839

------------------------------------------------------------------
                 |       Mean   Std. Err.     [95% Conf. Interval]
-----------------+------------------------------------------------
    c.Age@Sample |
  Harry - MTurk  |   37.61772   .2013902      37.22295    38.01248
    Harry - SSI  |   41.58826   .2857104      41.02821    42.14831
Harriet - MTurk  |   37.20959   .1958899      36.82561    37.59357
------------------------------------------------------------------

. tab Sample Gender, row

+----------------+
| Key            |
|----------------|
|   frequency    |
| row percentage |
+----------------+

                |       What is your gender?
         Sample |      Male     Female      Other |     Total
----------------+---------------------------------+----------
  Harry - MTurk |     1,614      2,066         11 |     3,691 
                |     43.73      55.97       0.30 |    100.00 
----------------+---------------------------------+----------
    Harry - SSI |     1,119      1,288         29 |     2,436 
                |     45.94      52.87       1.19 |    100.00 
----------------+---------------------------------+----------
Harriet - MTurk |     1,844      1,857         11 |     3,712 
                |     49.68      50.03       0.30 |    100.00 
----------------+---------------------------------+----------
          Total |     4,577      5,211         51 |     9,839 
                |     46.52      52.96       0.52 |    100.00 

. tab Education if Sample == 0

What is the highest level of school you |
   have completed or the highest degree |
                                    you |      Freq.     Percent        Cum.
----------------------------------------+-----------------------------------
           Less than high school degree |         17        0.46        0.46
High school graduate (high school diplo |        386       10.46       10.92
             Some college but no degree |        877       23.77       34.69
   Associate degree in college (2-year) |        445       12.06       46.75
  Bachelor's degree in college (4-year) |      1,356       36.75       83.50
                        Master's degree |        475       12.87       96.37
                        Doctoral degree |         48        1.30       97.67
           Professional degree (JD, MD) |         86        2.33      100.00
----------------------------------------+-----------------------------------
                                  Total |      3,690      100.00

. tab Education if Sample == 1

What is the highest level of school you |
   have completed or the highest degree |
                                    you |      Freq.     Percent        Cum.
----------------------------------------+-----------------------------------
           Less than high school degree |         56        2.33        2.33
High school graduate (high school diplo |        383       15.91       18.24
             Some college but no degree |        478       19.86       38.10
   Associate degree in college (2-year) |        218        9.06       47.15
  Bachelor's degree in college (4-year) |        730       30.33       77.48
                        Master's degree |        342       14.21       91.69
                        Doctoral degree |         50        2.08       93.77
           Professional degree (JD, MD) |        150        6.23      100.00
----------------------------------------+-----------------------------------
                                  Total |      2,407      100.00

. tab Education if Sample == 2

What is the highest level of school you |
   have completed or the highest degree |
                                    you |      Freq.     Percent        Cum.
----------------------------------------+-----------------------------------
           Less than high school degree |         11        0.30        0.30
High school graduate (high school diplo |        400       10.78       11.08
             Some college but no degree |        867       23.37       34.45
   Associate degree in college (2-year) |        457       12.32       46.77
  Bachelor's degree in college (4-year) |      1,435       38.68       85.44
                        Master's degree |        435       11.73       97.17
                        Doctoral degree |         48        1.29       98.46
           Professional degree (JD, MD) |         57        1.54      100.00
----------------------------------------+-----------------------------------
                                  Total |      3,710      100.00

. tab Sample Rep_dummy, row

+----------------+
| Key            |
|----------------|
|   frequency    |
| row percentage |
+----------------+

                |       Rep_dummy
         Sample |         0          1 |     Total
----------------+----------------------+----------
  Harry - MTurk |     2,542      1,149 |     3,691 
                |     68.87      31.13 |    100.00 
----------------+----------------------+----------
    Harry - SSI |     1,477        959 |     2,436 
                |     60.63      39.37 |    100.00 
----------------+----------------------+----------
Harriet - MTurk |     2,555      1,157 |     3,712 
                |     68.83      31.17 |    100.00 
----------------+----------------------+----------
          Total |     6,574      3,265 |     9,839 
                |     66.82      33.18 |    100.00 

. tab Sample Dem_dummy, row

+----------------+
| Key            |
|----------------|
|   frequency    |
| row percentage |
+----------------+

                |       Dem_dummy
         Sample |         0          1 |     Total
----------------+----------------------+----------
  Harry - MTurk |     1,608      2,083 |     3,691 
                |     43.57      56.43 |    100.00 
----------------+----------------------+----------
    Harry - SSI |     1,381      1,055 |     2,436 
                |     56.69      43.31 |    100.00 
----------------+----------------------+----------
Harriet - MTurk |     1,551      2,161 |     3,712 
                |     41.78      58.22 |    100.00 
----------------+----------------------+----------
          Total |     4,540      5,299 |     9,839 
                |     46.14      53.86 |    100.00 

. 
. ***************
. **CODE FOR A6**
. ***************
. 
. ***Means across all samples (see Table 3)
. quietly {

. mean Rating_M if out == 0 & Pooled_analysis == 1, over(Rudeness_0_to_100) 

Mean estimation                                        Number of obs   =      3,775

-----------------------------------------------------------------------------------
                                  |       Mean   Std. Err.     [95% Conf. Interval]
----------------------------------+------------------------------------------------
c.Rating_Miller@Rudeness_0_to_100 |
                              36  |   72.41406   .7738186      70.89692    73.93121
                              54  |    71.9776   .7821071      70.44421    73.51099
                              65  |   71.16301   .8453334      69.50565    72.82036
                              75  |   70.94695   .8705437      69.24016    72.65373
                              87  |   65.23849   .9075777       63.4591    67.01788
                              92  |    65.7243   .9303799       63.9002     67.5484
-----------------------------------------------------------------------------------

. mean Rating_M if out == 1 & Pooled_analysis == 1, over(Rudeness_0_to_100) 

Mean estimation                                        Number of obs   =      3,718

-----------------------------------------------------------------------------------
                                  |       Mean   Std. Err.     [95% Conf. Interval]
----------------------------------+------------------------------------------------
c.Rating_Miller@Rudeness_0_to_100 |
                              36  |   37.83333   1.129256      35.61931    40.04735
                              54  |    34.1629   1.123488      31.96019    36.36562
                              65  |   31.06136   1.082065      28.93986    33.18286
                              75  |   32.38756   1.106046      30.21904    34.55608
                              87  |   28.36551   1.084562      26.23911     30.4919
                              92  |   29.22756   1.118664      27.03431    31.42082
-----------------------------------------------------------------------------------

. 
. *Signficance testing to create stars (see Table 3)
. reg Rating_M i.Rudeness_0_to_100 if out == 0 & Pooled_analysis == 1, rob

Linear regression                               Number of obs     =      3,775
                                                F(5, 3769)        =      13.56
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0185
                                                Root MSE          =     21.405

-----------------------------------------------------------------------------------
                  |               Robust
    Rating_Miller |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
Rudeness_0_to_100 |
              54  |  -.4364625   1.100226    -0.40   0.692    -2.593558    1.720633
              65  |  -1.251053   1.146043    -1.09   0.275    -3.497979    .9958723
              75  |  -1.467117   1.164751    -1.26   0.208     -3.75072    .8164852
              87  |  -7.175576   1.192671    -6.02   0.000    -9.513918   -4.837234
              92  |  -6.689763   1.210143    -5.53   0.000    -9.062362   -4.317165
                  |
            _cons |   72.41406    .773829    93.58   0.000      70.8969    73.93123
-----------------------------------------------------------------------------------

. reg Rating_M i.Rudeness_0_to_100 if out == 1 & Pooled_analysis == 1, rob

Linear regression                               Number of obs     =      3,718
                                                F(5, 3712)        =       9.72
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0131
                                                Root MSE          =     27.573

-----------------------------------------------------------------------------------
                  |               Robust
    Rating_Miller |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
Rudeness_0_to_100 |
              54  |   -3.67043   1.592928    -2.30   0.021    -6.793529    -.547331
              65  |  -6.771973   1.563971    -4.33   0.000      -9.8383   -3.705647
              75  |  -5.445774   1.580682    -3.45   0.001    -8.544863   -2.346684
              87  |  -9.467827   1.565728    -6.05   0.000     -12.5376   -6.398056
              92  |  -8.605769   1.589533    -5.41   0.000    -11.72221   -5.489325
                  |
            _cons |   37.83333   1.129244    33.50   0.000     35.61933    40.04733
-----------------------------------------------------------------------------------

. 
. ***Only Harry Miller version (see Table 4)
. mean Rating_M if out == 0 & Only_male_version_of_exp == 1, over(Rudeness_0_to_100) 

Mean estimation                                        Number of obs   =      2,118

-----------------------------------------------------------------------------------
                                  |       Mean   Std. Err.     [95% Conf. Interval]
----------------------------------+------------------------------------------------
c.Rating_Miller@Rudeness_0_to_100 |
                              36  |   72.33518   1.044237      70.28734    74.38302
                              54  |   71.48209   1.048896      69.42512    73.53907
                              65  |   70.76301   1.168234        68.472    73.05401
                              75  |   69.88636   1.215855      67.50197    72.27076
                              87  |    66.0826   1.224669      63.68092    68.48428
                              92  |   66.09804   1.275437       63.5968    68.59928
-----------------------------------------------------------------------------------

. mean Rating_M if out == 1 & Only_male_version_of_exp == 1, over(Rudeness_0_to_100) 

Mean estimation                                        Number of obs   =      2,057

-----------------------------------------------------------------------------------
                                  |       Mean   Std. Err.     [95% Conf. Interval]
----------------------------------+------------------------------------------------
c.Rating_Miller@Rudeness_0_to_100 |
                              36  |   39.87941   1.552053      36.83565    42.92317
                              54  |   37.29706   1.570499      34.21712    40.37699
                              65  |   32.15294   1.493964       29.2231    35.08278
                              75  |   33.85057    1.54476      30.82112    36.88003
                              87  |   31.57061   1.574117      28.48357    34.65764
                              92  |   32.44737   1.601442      29.30675    35.58799
-----------------------------------------------------------------------------------

. 
. *Signficance testing to create stars (see Table 4)
. reg Rating_M i.Rudeness_0_to_100 if out == 0 & Only_male_version_of_exp == 1, rob

Linear regression                               Number of obs     =      2,118
                                                F(5, 2112)        =       5.36
                                                Prob > F          =     0.0001
                                                R-squared         =     0.0127
                                                Root MSE          =     21.873

-----------------------------------------------------------------------------------
                  |               Robust
    Rating_Miller |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
Rudeness_0_to_100 |
              54  |  -.8530864   1.480125    -0.58   0.564    -3.755741    2.049568
              65  |  -1.572174   1.566905    -1.00   0.316    -4.645013    1.500664
              75  |  -2.448816   1.602745    -1.53   0.127    -5.591941    .6943078
              87  |  -6.252584   1.609391    -3.89   0.000     -9.40874   -3.096428
              92  |  -6.237141   1.648421    -3.78   0.000    -9.469839   -3.004443
                  |
            _cons |   72.33518    1.04427    69.27   0.000     70.28727    74.38309
-----------------------------------------------------------------------------------

. reg Rating_M i.Rudeness_0_to_100 if out == 1 & Only_male_version_of_exp == 1, rob

Linear regression                               Number of obs     =      2,057
                                                F(5, 2051)        =       4.59
                                                Prob > F          =     0.0004
                                                R-squared         =     0.0110
                                                Root MSE          =     28.823

-----------------------------------------------------------------------------------
                  |               Robust
    Rating_Miller |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
Rudeness_0_to_100 |
              54  |  -2.582353   2.207989    -1.17   0.242    -6.912487    1.747781
              65  |  -7.726471   2.154224    -3.59   0.000    -11.95117   -3.501775
              75  |  -6.028837   2.189794    -2.75   0.006    -10.32329   -1.734386
              87  |  -8.308807   2.210597    -3.76   0.000    -12.64406   -3.973557
              92  |  -7.432043   2.230113    -3.33   0.001    -11.80557   -3.058521
                  |
            _cons |   39.87941   1.552034    25.69   0.000     36.83569    42.92314
-----------------------------------------------------------------------------------

. 
. ***Only Hariet Miller Version (see Table 5)
. mean Rating_M if Only_female_version_of_exp == 1 & out == 0, over(Rudeness_0_to_100) 

Mean estimation                                        Number of obs   =      1,657

-----------------------------------------------------------------------------------
                                  |       Mean   Std. Err.     [95% Conf. Interval]
----------------------------------+------------------------------------------------
c.Rating_Miller@Rudeness_0_to_100 |
                              36  |   72.51613   1.153302      70.25404    74.77821
                              54  |   72.66412   1.171051      70.36722    74.96102
                              65  |   71.63699   1.224368      69.23551    74.03846
                              75  |   72.32963   1.225996      69.92496    74.73429
                              87  |   64.17472   1.351053      61.52477    66.82467
                              92  |   65.25614   1.358417      62.59174    67.92054
-----------------------------------------------------------------------------------

. mean Rating_M if Only_female_version_of_exp == 1 & out == 1, over(Rudeness_0_to_100) 

Mean estimation                                        Number of obs   =      1,661

-----------------------------------------------------------------------------------
                                  |       Mean   Std. Err.     [95% Conf. Interval]
----------------------------------+------------------------------------------------
c.Rating_Miller@Rudeness_0_to_100 |
                              36  |   35.27574   1.630628      32.07743    38.47404
                              54  |   30.35714   1.570727      27.27633    33.43796
                              65  |   29.65019   1.556089      26.59809    32.70229
                              75  |   30.56272   1.566498       27.4902    33.63524
                              87  |   24.46316   1.422093      21.67387    27.25244
                              92  |    25.3227   1.505279      22.37025    28.27514
-----------------------------------------------------------------------------------

. 
. *Signficance testing to create stars (see Table 5)
. reg Rating_M i.Rudeness_0_to_100 if Only_female_version_of_exp == 1 & out == 0, rob

Linear regression                               Number of obs     =      1,657
                                                F(5, 1651)        =       9.20
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0290
                                                Root MSE          =     20.802

-----------------------------------------------------------------------------------
                  |               Robust
    Rating_Miller |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
Rudeness_0_to_100 |
              54  |   .1479931   1.643547     0.09   0.928    -3.075663    3.371649
              65  |  -.8791427    1.68212    -0.52   0.601    -4.178456     2.42017
              75  |  -.1864994    1.68318    -0.11   0.912    -3.487892    3.114894
              87  |  -8.341408   1.776323    -4.70   0.000    -11.82549   -4.857324
              92  |  -7.259989   1.782038    -4.07   0.000    -10.75528   -3.764696
                  |
            _cons |   72.51613   1.153323    62.88   0.000       70.254    74.77826
-----------------------------------------------------------------------------------

. reg Rating_M i.Rudeness_0_to_100 if Only_female_version_of_exp == 1 & out == 1, rob

Linear regression                               Number of obs     =      1,661
                                                F(5, 1655)        =       6.57
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0195
                                                Root MSE          =     25.653

-----------------------------------------------------------------------------------
                  |               Robust
    Rating_Miller |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
Rudeness_0_to_100 |
              54  |  -4.918592    2.26408    -2.17   0.030    -9.359356    -.477829
              65  |  -5.625545   2.253825    -2.50   0.013    -10.04619   -1.204897
              75  |  -4.713011   2.261142    -2.08   0.037    -9.148011   -.2780118
              87  |  -10.81258   2.163639    -5.00   0.000    -15.05634   -6.568819
              92  |   -9.95304   2.219187    -4.48   0.000    -14.30575    -5.60033
                  |
            _cons |   35.27574   1.630575    21.63   0.000     32.07753    38.47394
-----------------------------------------------------------------------------------

. 
. ***Only Harry-MTurk Version (see table 6)
. mean Rating_M if Only_male_version_MTturk_sample == 1 & out == 0, over(Rudeness_0_to_100) 

Mean estimation                                        Number of obs   =      1,613

-----------------------------------------------------------------------------------
                                  |       Mean   Std. Err.     [95% Conf. Interval]
----------------------------------+------------------------------------------------
c.Rating_Miller@Rudeness_0_to_100 |
                              36  |   75.60773   1.200511      73.25301    77.96246
                              41  |   70.46429    1.70847      67.11323    73.81534
                              54  |   73.32105   1.260582       70.8485     75.7936
                              65  |   72.24294   1.508329      69.28445    75.20143
                              71  |   69.46857    1.43891      66.64624     72.2909
                              75  |   73.20787   1.342545      70.57455    75.84118
                              82  |   69.98901   1.478254      67.08951    72.88851
                              87  |   67.69022   1.600325      64.55128    70.82915
                              92  |   65.42135   1.737845      62.01268    68.83002
-----------------------------------------------------------------------------------

. mean Rating_M if Only_male_version_MTturk_sample == 1 & out == 1, over(Rudeness_0_to_100) 

Mean estimation                                        Number of obs   =      1,619

-----------------------------------------------------------------------------------
                                  |       Mean   Std. Err.     [95% Conf. Interval]
----------------------------------+------------------------------------------------
c.Rating_Miller@Rudeness_0_to_100 |
                              36  |    35.2033   1.937346      31.40333    39.00327
                              41  |   35.17857   1.778033      31.69108    38.66606
                              54  |   34.54651   2.111848      30.40427    38.68876
                              65  |    27.7193   1.780185      24.22759    31.21101
                              71  |   33.20994    1.89476       29.4935    36.92639
                              75  |   26.51351   1.800511      22.98194    30.04509
                              82  |   24.37278   1.781585      20.87832    27.86724
                              87  |   25.60556   1.836429      22.00353    29.20758
                              92  |   28.64481   2.014777      24.69296    32.59666
-----------------------------------------------------------------------------------

. 
. *Signficance testing to create stars (see Table 6)
. reg Rating_M i.Rudeness_0_to_100 if Only_male_version_MTturk_sample == 1 & out == 0, rob

Linear regression                               Number of obs     =      1,613
                                                F(8, 1604)        =       4.62
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0220
                                                Root MSE          =     19.818

-----------------------------------------------------------------------------------
                  |               Robust
    Rating_Miller |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
Rudeness_0_to_100 |
              41  |  -5.143449   2.087841    -2.46   0.014    -9.238633   -1.048266
              54  |  -2.286682   1.740942    -1.31   0.189    -5.701442    1.128078
              65  |  -3.364797   1.927745    -1.75   0.081    -7.145961    .4163675
              71  |  -6.139163   1.873896    -3.28   0.001    -9.814706    -2.46362
              75  |   -2.39987   1.801018    -1.33   0.183    -5.932465    1.132726
              82  |  -5.618724   1.904397    -2.95   0.003    -9.354091   -1.883356
              87  |  -7.917517    2.00068    -3.96   0.000    -11.84174   -3.993296
              92  |  -10.18639   2.112177    -4.82   0.000     -14.3293   -6.043469
                  |
            _cons |   75.60773   1.200544    62.98   0.000     73.25294    77.96253
-----------------------------------------------------------------------------------

. reg Rating_M i.Rudeness_0_to_100 if Only_male_version_MTturk_sample == 1 & out == 1, rob

Linear regression                               Number of obs     =      1,619
                                                F(8, 1610)        =       5.59
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0264
                                                Root MSE          =     25.282

-----------------------------------------------------------------------------------
                  |               Robust
    Rating_Miller |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
Rudeness_0_to_100 |
              41  |  -.0247253   2.629906    -0.01   0.992    -5.183124    5.133674
              54  |  -.6567851   2.865713    -0.23   0.819    -6.277705    4.964134
              65  |  -7.483998    2.63091    -2.84   0.005    -12.64437    -2.32363
              71  |  -1.993352   2.709943    -0.74   0.462    -7.308739    3.322035
              75  |  -8.689783   2.644975    -3.29   0.001    -13.87774   -3.501828
              82  |  -10.83052   2.631816    -4.12   0.000    -15.99266   -5.668371
              87  |  -9.597741   2.669463    -3.60   0.000    -14.83373   -4.361753
              92  |  -6.558488   2.795222    -2.35   0.019    -12.04114   -1.075833
                  |
            _cons |    35.2033   1.937408    18.17   0.000     31.40319     39.0034
-----------------------------------------------------------------------------------

. 
. ***Only Harry-SSI Version (see table 7)
. mean Rating_M if Only_male_version_SSI_sample == 1 & out == 0, over(Rudeness_0_to_100) 

Mean estimation                                        Number of obs   =      1,030

-----------------------------------------------------------------------------------
                                  |       Mean   Std. Err.     [95% Conf. Interval]
----------------------------------+------------------------------------------------
c.Rating_Miller@Rudeness_0_to_100 |
                              36  |   69.04444   1.679371      65.74906    72.33983
                              54  |   69.46243   1.701622      66.12338    72.80147
                              65  |   69.21302   1.792709      65.69524     72.7308
                              75  |   66.48851    2.01225      62.53992    70.43709
                              87  |   64.17419    1.88234      60.48053    67.86786
                              92  |   66.77095   1.870112      63.10128    70.44062
-----------------------------------------------------------------------------------

. mean Rating_M if Only_male_version_SSI_sample == 1 & out == 1, over(Rudeness_0_to_100) 

Mean estimation                                        Number of obs   =        984

-----------------------------------------------------------------------------------
                                  |       Mean   Std. Err.     [95% Conf. Interval]
----------------------------------+------------------------------------------------
c.Rating_Miller@Rudeness_0_to_100 |
                              36  |   45.26582    2.42139      40.51413    50.01751
                              54  |    40.1131   2.315912       35.5684    44.65779
                              65  |   36.63905   2.361737      32.00443    41.27368
                              75  |   42.17791   2.434819      37.39987    46.95595
                              87  |         38   2.516277      33.06211    42.93789
                              92  |    36.8239   2.509429      31.89945    41.74835
-----------------------------------------------------------------------------------

. 
. *Signficance testing to create stars (see Table 6)
. reg Rating_M i.Rudeness_0_to_100 if Only_male_version_SSI_sample == 1 & out == 0, rob

Linear regression                               Number of obs     =      1,030
                                                F(5, 1024)        =       1.31
                                                Prob > F          =     0.2576
                                                R-squared         =     0.0061
                                                Root MSE          =     23.926

-----------------------------------------------------------------------------------
                  |               Robust
    Rating_Miller |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
Rudeness_0_to_100 |
              54  |   .4179833   2.390962     0.17   0.861    -4.273762    5.109728
              65  |   .1685733   2.456534     0.07   0.945    -4.651842    4.988989
              75  |  -2.555939   2.621167    -0.98   0.330    -7.699412    2.587535
              87  |  -4.870251   2.522305    -1.93   0.054    -9.819729    .0792269
              92  |  -2.273495   2.513804    -0.90   0.366    -7.206291    2.659301
                  |
            _cons |   69.04444   1.679599    41.11   0.000      65.7486    72.34029
-----------------------------------------------------------------------------------

. reg Rating_M i.Rudeness_0_to_100 if Only_male_version_SSI_sample == 1 & out == 1, rob

Linear regression                               Number of obs     =        984
                                                F(5, 978)         =       1.95
                                                Prob > F          =     0.0829
                                                R-squared         =     0.0097
                                                Root MSE          =     31.077

-----------------------------------------------------------------------------------
                  |               Robust
    Rating_Miller |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
Rudeness_0_to_100 |
              54  |  -5.152728   3.350522    -1.54   0.124    -11.72777    1.422311
              65  |   -8.62677   3.382393    -2.55   0.011    -15.26435   -1.989187
              75  |  -3.087909    3.43364    -0.90   0.369    -9.826059    3.650242
              87  |  -7.265823   3.492007    -2.08   0.038    -14.11851   -.4131341
              92  |  -8.441923   3.486801    -2.42   0.016     -15.2844   -1.599451
                  |
            _cons |   45.26582   2.421108    18.70   0.000     40.51466    50.01699
-----------------------------------------------------------------------------------

. 
. ***************
. **CODE FOR A7**
. ***************
. 
. *Testing whether partisans respond differently to in- and out-party incivility (Table 8)
. quietly {

. reg Rating_M Rudeness_0_to_100##out if Pooled_analysis == 1, rob

Linear regression                               Number of obs     =      7,493
                                                F(11, 7481)       =     412.93
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3721
                                                Root MSE          =     24.659

--------------------------------------------------------------------------------------------
                           |               Robust
             Rating_Miller |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
         Rudeness_0_to_100 |
                       54  |  -.4364625   1.100232    -0.40   0.692    -2.593227    1.720302
                       65  |  -1.251053    1.14605    -1.09   0.275    -3.497634    .9955278
                       75  |  -1.467117   1.164758    -1.26   0.208    -3.750369    .8161351
                       87  |  -7.175576   1.192678    -6.02   0.000    -9.513559   -4.837592
                       92  |  -6.689763    1.21015    -5.53   0.000    -9.061998   -4.317529
                           |
                       out |
   Miller is out-partisan  |  -34.58073    1.36894   -25.26   0.000    -37.26424   -31.89722
                           |
     Rudeness_0_to_100#out |
54#Miller is out-partisan  |  -3.233968   1.935949    -1.67   0.095    -7.028972    .5610365
65#Miller is out-partisan  |   -5.52092   1.938919    -2.85   0.004    -9.321746   -1.720095
75#Miller is out-partisan  |  -3.978656   1.963462    -2.03   0.043    -7.827594   -.1297184
87#Miller is out-partisan  |  -2.292251   1.968236    -1.16   0.244    -6.150548    1.566045
92#Miller is out-partisan  |  -1.916006   1.997761    -0.96   0.338    -5.832178    2.000167
                           |
                     _cons |   72.41406   .7738337    93.58   0.000     70.89713    73.93099
--------------------------------------------------------------------------------------------

. 
. ***************
. **CODE FOR A8**
. ***************
. 
. *Creating Figure 2 and saving it in folder called "Figures"
. quietly {
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)

. 
. *Creating Figure 3 and saving it in folder called "Figures" (each panel saved sep.)
. quietly {
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)

. 
. *Creating Figure 4 and saving it in folder called "Figures" (each panel saved sep.)
. quietly{
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)

. 
. *Creating Figure 5 and saving it in folder called "Figures" (each panel saved sep.)
. quietly {
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)

. 
. *Creating Figure 6 and saving it in folder called "Figures"
. quietly {
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)
(note:  named style 1 not found in class connectstyle, default attributes used)

. 
. ***************
. **CODE FOR A9**
. ***************
. 
. *Creating Figure 7 and saving it in folder called "Figures"
. quietly {
(note:  named style 1 not found in class connectstyle, default attributes used)

. 
. ****************
. **CODE FOR A10**
. ****************
. 
. *Calculating average ratings of "the politicians whom Miuller was criticizing" (see Table 9)
. quietly {

. mean Rating_those if out == 0 & Pooled_analysis == 1, over(Rudeness_0_to_100) 

Mean estimation                                                   Number of obs   =      3,775

----------------------------------------------------------------------------------------------
                                             |       Mean   Std. Err.     [95% Conf. Interval]
---------------------------------------------+------------------------------------------------
c.Rating_those_Miller_crit@Rudeness_0_to_100 |
                                         36  |   26.73906   .9576588      24.86148    28.61664
                                         54  |      26.92   .9691524      25.01989    28.82011
                                         65  |   25.98746   .9691936      24.08727    27.88765
                                         75  |   27.33601   1.022547      25.33121    29.34081
                                         87  |   26.98191   .9980293      25.02518    28.93864
                                         92  |   28.40498   1.029744      26.38608    30.42389
----------------------------------------------------------------------------------------------

. mean Rating_those if out == 1 & Pooled_analysis == 1, over(Rudeness_0_to_100) 

Mean estimation                                                   Number of obs   =      3,718

----------------------------------------------------------------------------------------------
                                             |       Mean   Std. Err.     [95% Conf. Interval]
---------------------------------------------+------------------------------------------------
c.Rating_those_Miller_crit@Rudeness_0_to_100 |
                                         36  |   53.02778   1.024768      51.01862    55.03694
                                         54  |   53.90806   1.018554      51.91108    55.90504
                                         65  |    52.1675   1.040729      50.12704    54.20795
                                         75  |   55.87081   .9955859      53.91887    57.82276
                                         87  |   54.28006   1.030223      52.26021    56.29992
                                         92  |   52.89904   1.019535      50.90014    54.89794
----------------------------------------------------------------------------------------------

. 
. *significance testing to create stars in table (see Table 9)
. reg Rating_those i.Rudeness_0_to_100 if out == 0 & Pooled_analysis == 1, rob

Linear regression                               Number of obs     =      3,775
                                                F(5, 3769)        =       0.63
                                                Prob > F          =     0.6789
                                                R-squared         =     0.0009
                                                Root MSE          =     24.869

-----------------------------------------------------------------------------------
                  |               Robust
Rating_those_Mi~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
Rudeness_0_to_100 |
              54  |   .1809375   1.362491     0.13   0.894    -2.490353    2.852228
              65  |  -.7516017   1.362531    -0.55   0.581    -3.422972    1.919769
              75  |   .5969504   1.400971     0.43   0.670    -2.149784    3.343685
              87  |   .2428454   1.383164     0.18   0.861    -2.468977    2.954668
              92  |   1.665922   1.406251     1.18   0.236    -1.091165    4.423008
                  |
            _cons |   26.73906   .9576717    27.92   0.000     24.86146    28.61667
-----------------------------------------------------------------------------------

. reg Rating_those i.Rudeness_0_to_100 if out == 1 & Pooled_analysis == 1, rob

Linear regression                               Number of obs     =      3,718
                                                F(5, 3712)        =       1.67
                                                Prob > F          =     0.1394
                                                R-squared         =     0.0022
                                                Root MSE          =      25.43

-----------------------------------------------------------------------------------
                  |               Robust
Rating_those_Mi~t |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
Rudeness_0_to_100 |
              54  |   .8802867   1.444847     0.61   0.542    -1.952485    3.713058
              65  |  -.8602819   1.460547    -0.59   0.556    -3.723835    2.003271
              75  |   2.843036   1.428754     1.99   0.047     .0418157    5.644256
              87  |   1.252286   1.453107     0.86   0.389    -1.596681    4.101252
              92  |  -.1287393   1.445542    -0.09   0.929    -2.962873    2.705395
                  |
            _cons |   53.02778   1.024758    51.75   0.000     51.01863    55.03692
-----------------------------------------------------------------------------------

. 
. ****************
. **CODE FOR A11**
. ****************
. 
. *Calculating average perceived rudeness (see Table 10)
. quietly {

. mean perceived_rudeness if out == 0 & Pooled_analysis == 1, over(Rudeness_0_to_100) 

Mean estimation                                             Number of obs   =      3,757

----------------------------------------------------------------------------------------
                                       |       Mean   Std. Err.     [95% Conf. Interval]
---------------------------------------+------------------------------------------------
c.perceived_rudeness@Rudeness_0_to_100 |
                                   36  |   .2568027    .009785      .2376183    .2759872
                                   54  |   .3746645   .0094137       .356208     .393121
                                   65  |   .4190252   .0091373      .4011105    .4369398
                                   75  |    .457189    .009815      .4379458    .4764322
                                   87  |    .602649   .0104375      .5821854    .6231126
                                   92  |   .5882813    .010655      .5673911    .6091714
----------------------------------------------------------------------------------------

. mean perceived_rudeness if out == 1 & Pooled_analysis == 1, over(Rudeness_0_to_100) 

Mean estimation                                             Number of obs   =      3,708

----------------------------------------------------------------------------------------
                                       |       Mean   Std. Err.     [95% Conf. Interval]
---------------------------------------+------------------------------------------------
c.perceived_rudeness@Rudeness_0_to_100 |
                                   36  |   .4147541   .0113635      .3924748    .4370334
                                   54  |   .5538898   .0098675      .5345435    .5732361
                                   65  |   .5946844   .0095412      .5759779    .6133909
                                   75  |   .6296592   .0098898      .6102692    .6490493
                                   87  |   .7330688   .0106663      .7121565    .7539811
                                   92  |   .7570894   .0105174      .7364688    .7777099
----------------------------------------------------------------------------------------

. 
. *Calculating average perceived ideology (see Table 10)
. quietly {

. mean perceived_ideology if Miller_attacking_Reps_dummy == 0 & Pooled_analysis == 1, over(Rudeness_0_to_100) 

Mean estimation                                             Number of obs   =      4,239

----------------------------------------------------------------------------------------
                                       |       Mean   Std. Err.     [95% Conf. Interval]
---------------------------------------+------------------------------------------------
c.perceived_ideology@Rudeness_0_to_100 |
                                   36  |   .2255869   .0094658      .2070289    .2441448
                                   54  |   .2120892   .0094971      .1934699    .2307085
                                   65  |   .2030217     .00994       .183534    .2225094
                                   75  |   .1891796   .0095733      .1704109    .2079484
                                   87  |   .2066571   .0102216      .1866174    .2266968
                                   92  |   .2034038   .0101684      .1834684    .2233392
----------------------------------------------------------------------------------------

. mean perceived_ideology if Miller_attacking_Reps_dummy == 1 & Pooled_analysis == 1, over(Rudeness_0_to_100)

Mean estimation                                             Number of obs   =      4,279

----------------------------------------------------------------------------------------
                                       |       Mean   Std. Err.     [95% Conf. Interval]
---------------------------------------+------------------------------------------------
c.perceived_ideology@Rudeness_0_to_100 |
                                   36  |   .7738936   .0090264      .7561972      .79159
                                   54  |    .789627   .0085693      .7728267    .8064273
                                   65  |   .7801344   .0088024      .7628771    .7973918
                                   75  |   .7812792   .0094463      .7627596    .7997988
                                   87  |   .7974684   .0093613      .7791154    .8158213
                                   92  |     .79272   .0098564      .7733964    .8120437
----------------------------------------------------------------------------------------

. 
end of do-file

. log off
      name:  <unnamed>
       log:  U:\Papers\Degrees of Disrespect\All_data_and_dofiles\Replication files for JOP\mylog.log
  log type:  text
 paused on:  27 Jul 2021, 13:50:39
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
